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""" | |
Azure Table Storage - Python Batching Example | |
(C) 2016 MediaRealm.com.au | |
Needs v0.30.0 of the Azure Storage Python SDK | |
https://github.com/Azure/azure-storage-python/releases/tag/v0.30.0 | |
""" | |
from azure.storage.table import TableService, Entity, TableBatch | |
table_service = TableService( | |
account_name = '---MYACCOUNTNAME---', | |
account_key = '---MYSECRETKEY---' | |
) | |
# Create a new batch | |
batch = TableBatch() | |
# Count how many items are stored in the batch | |
inBatch = 0 | |
# Loop over all the data we want to insert | |
for x in dataToStore: | |
# Insert the entity into the batch | |
batch.insert_entity({ | |
'PartitionKey': 'PARTITION1', | |
'RowKey': str(x['rowkey']), | |
'someKey': x['someValue'], | |
'someOtherKey': x['someOtherValue'] | |
}) | |
# Increment the batch item counter | |
inBatch += 1 | |
# We can only send batches with up to 100 records | |
if inBatch > 99: | |
# Commit the batch (send to Azure) | |
table_service.commit_batch('tablename', batch) | |
# Reset the batch so it doesn't contain any old items | |
batch = TableBatch() | |
inBatch = 0 | |
if inBatch > 0: | |
# If there's still anything in the batch, send it to Azure now | |
table_service.commit_batch('tablename', batch) |
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